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Identification and characterization of bladder cancer by low-resolution fiber-optic Raman spectroscopy
Chen, Hao1,2; Li X(李昕)3; Broderick, Neil2,4; Liu, Yuewen5; Zhou, Yajun5; Han JD(韩建达)6,7; Xu WL(徐卫良)1,2
Department机器人学研究室
Source PublicationJOURNAL OF BIOPHOTONICS
ISSN1864-063X
2018
Volume11Issue:9Pages:1-8
Indexed BySCI ; EI
EI Accession number20183705792095
WOS IDWOS:000443944500014
Contribution Rank6
KeywordAnn Bladder Cancer Low-resolution Pca Raman Spectroscopy
Abstract

Raman spectroscopy has been proved to be a promising diagnostic technique for various cancers detection. A major drawback for its clinical translation is the intrinsic weakness of Raman effects. Highly sensitive equipment and optimal measurement conditions are generally applied to overcome this drawback. However, these equipment are usually bulky, expensive and may also be easily influenced by surrounding environment. In this preliminary work, a low-resolution fiber-optic Raman sensing system is applied to evaluate the diagnostic potential of Raman spectroscopy to identify different bladder pathologies ex vivo. A total number of 262 spectra taken from 32 bladder specimens are included in this study. These spectra are categorized into 3 groups by histopathological analysis, namely normal bladder tissues, low-grade bladder tumors and high-grade bladder tumors. Principal component analysis fed artificial neural network are used to train a classification model for the spectral data with 10-fold cross-validation and an overall prediction accuracy of 93.1% is obtained. The sensitivities and specificities for normal bladder tissues, low-grade bladder tumors and high-grade bladder tumors are 88.5% and 95.1%, 90.3% and 98%, and 97.5% and 96.4%, respectively. These results demonstrate the potential of using a low-resolution fiber-optic Raman system for in vivo bladder cancer diagnosis.

Language英语
WOS SubjectBiochemical Research Methods ; Biophysics ; Optics
WOS KeywordIn-vivo ; Prostate-cancer ; Diagnosis ; Metastases ; Tissue ; Tumors
WOS Research AreaBiochemistry & Molecular Biology ; Biophysics ; Optics
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/22777
Collection机器人学研究室
Corresponding AuthorLi X(李昕); Xu WL(徐卫良)
Affiliation1.Department of Mechanical Engineering, The University of Auckland, Auckland, New Zealand
2.The Dodd-Walls Centre for Photonic and Quantum Technologies, Dunedin, New Zealand
3.Department of Urology, The General Hospital of Shenyang Military, Shenyang, China
4.Department of Physics, The University of Auckland, Auckland, New Zealand
5.Jinzhou Medical University, Jinzhou, China
6.College of Computer and Control Engineering, Nankai University, Nankai, China
7.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Chen, Hao,Li X,Broderick, Neil,et al. Identification and characterization of bladder cancer by low-resolution fiber-optic Raman spectroscopy[J]. JOURNAL OF BIOPHOTONICS,2018,11(9):1-8.
APA Chen, Hao.,Li X.,Broderick, Neil.,Liu, Yuewen.,Zhou, Yajun.,...&Xu WL.(2018).Identification and characterization of bladder cancer by low-resolution fiber-optic Raman spectroscopy.JOURNAL OF BIOPHOTONICS,11(9),1-8.
MLA Chen, Hao,et al."Identification and characterization of bladder cancer by low-resolution fiber-optic Raman spectroscopy".JOURNAL OF BIOPHOTONICS 11.9(2018):1-8.
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